Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
ABSTRACT. As informal methods do little to help their use for concurrent and distributed programming, one of the most challenging current tasks is to build tools based on formal me...
Fabien Dagnat, Marc Pantel, Matthias Colin, Patric...
Abstract—In this paper we introduce Timed Moore Automata, a specification formalism which is used in industrial train control applications for specifying the real-time behavior ...
We argue that lightweight, language-based verification is poised to enter mainstream industrial use, where it will have a major impact on software quality and reliability. We expl...